path: "tensorflow.tpu.experimental.embedding.TPUEmbeddingForServing"
tf_class {
  is_instance: "<class \'tensorflow.python.tpu.tpu_embedding_for_serving.TPUEmbeddingForServing\'>"
  is_instance: "<class \'tensorflow.python.tpu.tpu_embedding_base.TPUEmbeddingBase\'>"
  is_instance: "<class \'tensorflow.python.trackable.autotrackable.AutoTrackable\'>"
  is_instance: "<class \'tensorflow.python.trackable.base.Trackable\'>"
  is_instance: "<type \'object\'>"
  member {
    name: "embedding_tables"
    mtype: "<type \'property\'>"
  }
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'feature_config\', \'optimizer\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "build"
    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "embedding_lookup"
    argspec: "args=[\'self\', \'features\', \'weights\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
}
